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EEG tensor representation using graph signal processing

Le, Thanh Xuyen and Le, Trung Thanh and Nguyen, Linh Trung and Tran, Thi Thuy Quynh and Nguyen, Duc Thuan (2019) EEG tensor representation using graph signal processing. In: 2019 KICS Korea-Vietnam International Joint Workshop on Communications and Information Sciences, 21-22 November, 2019, Hanoi, Vietnam.

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To help analyze electroencephalography (EEG) data for epilepsy, we propose a temporal–spatial–spectral tensor tensor representation for epileptic spikes via graph signal processing. Instead of using the temporal behavior of the sources, we apply the graph wavelet transform to the spatial variable for constructing the new representation of the epilepsy tensor, in order to exploit latent information of the spatial domain. To illustrate the usefulness of the proposed method for EEG tensor representation, we decompose this tensor to separate EEG sources. Simulation results on real EEG data of a patient diagnosed of epilepsy indicated that our proposed method of representation is promising in estimating the epileptic sources.

Item Type: Conference or Workshop Item (Paper)
Subjects: Electronics and Communications
Information Technology (IT)
Divisions: Advanced Insitute of Engineering and Technology (AVITECH)
Faculty of Electronics and Telecommunications (FET)
Depositing User: A/Prof. Linh Trung Nguyen
Date Deposited: 04 Dec 2019 07:18
Last Modified: 04 Dec 2019 07:18

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